Abhishek Das

According to our database, Abhishek Das authored at least 36 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

UMA: A Family of Universal Models for Atoms.

Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco S. Cohen, Abhishek Das, Sushree Jagriti Sahoo, Ammar Rizvi, Zachary W. Ulissi, Larry Zitnick

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Distribution Learning for Molecular Regression.

Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek Das

CoRR, 2024

2023

The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture.

Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary W. Ulissi, Matt Uyttendaele, Andrew J. Medford, David S. Sholl

CoRR, 2023

PIRLNav: Pretraining with Imitation and RL Finetuning for OBJECTNAV.

Ram Ramrakhya, Dhruv Batra, Erik Wijmans, Abhishek Das

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets.

Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das

Trans. Mach. Learn. Res., 2022

AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning.

Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M. Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi

CoRR, 2022

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis.

Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick

CoRR, 2022

How Do Graph Networks Generalize to Large and Diverse Molecular Systems?

Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das

CoRR, 2022

Spherical Channels for Modeling Atomic Interactions.

Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations.

Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Rotation Invariant Graph Neural Networks using Spin Convolutions.

Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick

CoRR, 2021

Auxiliary Tasks and Exploration Enable ObjectNav.

Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans

CoRR, 2021

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations.

Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick

CoRR, 2021

The Open Catalyst Challenge 2021: Competition Report.

Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Auxiliary Tasks and Exploration Enable ObjectGoal Navigation.

Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Building Agents that can See, Talk, and Act.

Abhishek Das

PhD thesis, 2020

The Open Catalyst 2020 (OC20) Dataset and Community Challenges.

Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi

CoRR, 2020

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage.

C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon M. Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi

CoRR, 2020

Auxiliary Tasks Speed Up Learning PointGoal Navigation.

Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das

CoRR, 2020

IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL.

Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline.

Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das

Proceedings of the Computer Vision - ECCV 2020, 2020

Auxiliary Tasks Speed Up Learning Point Goal Navigation.

Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Visual Dialog.

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, Stefan Lee, José M. F. Moura, Devi Parikh, Dhruv Batra

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning.

Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam

CoRR, 2019

End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features.

Chiori Hori, Huda AlAmri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K. Marks, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh

Proceedings of the IEEE International Conference on Acoustics, 2019

Embodied Question Answering in Photorealistic Environments With Point Cloud Perception.

Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Audio Visual Scene-Aware Dialog.

Huda AlAmri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K. Marks, Chiori Hori, Peter Anderson, Stefan Lee, Devi Parikh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7.

Huda AlAmri, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Jue Wang, Irfan Essa, Dhruv Batra, Devi Parikh, Anoop Cherian, Tim K. Marks, Chiori Hori

CoRR, 2018

Embodied Question Answering.

Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Neural Modular Control for Embodied Question Answering.

Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization.

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning.

Abhishek Das, Satwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra

Proceedings of the IEEE International Conference on Computer Vision, 2017

Visual Dialog.

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Grad-CAM: Why did you say that?

Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra

CoRR, 2016

Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization.

Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra

CoRR, 2016

Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?

Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016